How Airbnb Visitors Rate Location in Major US Cities
Through Airbnb, you can stay in other people’s homes, condos, and apartments, and at the end of your stay you get an email to rate your stay. There are six things they ask you about: the accuracy of the listing, communication, cleanliness, check-in experience, value, and the location.
Beñat Arregi focused on that last one, location, using it as a proxy to see how visitors see a city in different neighborhoods. In the maps you can see where the city centers end and pockets that might not be the best place to visit.
Arregi looked mostly at European cities though, and after seeing there was data available for more US cities from Inside Airbnb, how could I not take a look?
Below are the location ratings for listings in 16 major US cities. Click to embiggen.
I whipped these up pretty quick in R, mapping listings with non-anonymous locations. They’d likely benefit from some aggregation or hexbinning. There’s overlap in the densely populated cities, so some points are obscured. The listings with more reviews are placed on top.
Still though, I think it’s interesting to see the geographic patterns and the sudden shift in ratings.
You might think that the other ratings such as value or overall average correlate to the location rating, but the others actually look pretty random at first glance. I’d have to look more, but my hunch is that the cost goes down with the location rating, and then visitors typically adjust their expectations accordingly.
Make maps that allow you to see spatial patterns across regions and are great for presentation and communication.
Chart Type Used
Become a member. Learn to visualize data. From beginner to advanced.Join Today
This is for people interested in the process of creating, designing, and exploring data graphics. Your support goes directly to FlowingData, an independently run site.
What You Get
- Instant access to tutorials on how to make and design data graphics
- Source code and files to use with your own data
- In-depth courses on visualization in R
- Hand-picked links and resources from around the web
Projects by Nathan Yau See All →
Think Like a Statistician – Without the Math
I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.
Unemployment in America, Mapped Over Time
Watch the regional changes across the country from 1990 to 2016.
Causes of Death
There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.